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Project cooperationUpdated on 21 January 2026

Synthetic patient data and in silico test environments for biomedical research

CEO & Co-founder at K01

Reykjavík, Iceland

About

OFFERING

K01 develops synthetic health data as a computational methodology for biomedical research and regulatory testing:

  • Clinically realistic synthetic patient cohorts preserving statistical properties and physiological relationships

  • In silico test environments for algorithm development and validation

  • Differential privacy with configurable, mathematically verifiable privacy guarantees

  • FHIR R4/R5 compliant output for integration with research infrastructure

  • Roadmap includes medical imaging, genomics, and biosignals

Our approach enables computational experimentation without real patient data access, directly supporting NAM adoption in health research.

TRACTION

  • Live deployments with Icelandic health institutions

  • Icelandic government grant for healthcare simulation applications

  • Founded by two Imperial College London PhDs

LOOKING FOR

  • Coordinator with regulatory science or computational biology expertise

  • Partners developing models requiring synthetic training/validation data

  • Research institutions exploring alternatives to traditional data access

Open to RIA consortium roles in data infrastructure, privacy-preserving methods or in silico validation work packages.

Topic

  • DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-06: Support to European Research Area (ERA) action on accelerating New Approach Methodologies (NAMs) to advance biomedical research and testing of medicinal products and medical devices

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    Synthetic health data infrastructure data low-value care detection

    • DESTINATION 4: HORIZON-HLTH-2026-01-CARE-03: Identifying and addressing low-value care in health and care systems

    Arinbjörn Kolbeinsson

    CEO & Co-founder at K01

    Reykjavík, Iceland

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    Digital Twin What-If Analysis for Post-Infection Care

    • DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-03: Advancing research on the prevention, diagnosis, and management of post-infection long-term conditions

    Avidor Rabinovich

    Founder at Nightingale-cares.ai

    Kiryat Motskin, Israel

  • Project cooperation

    Drug Discovery, NAMs & Biomedical AI | DENVIS & ADMETrix Platforms | Greek SME DeepLab | Technical Partner

    • Partner seeks Consortium/Coordinator
    • DESTINATION 6: HORIZON-HLTH-2026-01-IND-03: Regulatory science to support translational development of patient-centred health technologies
    • DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-03: Integrating New Approach Methodologies (NAMs) to advance biomedical research and regulatory testing
    • DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-03: Advancing research on the prevention, diagnosis, and management of post-infection long-term conditions
    • DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-11: Understanding of sex and/or gender-specific mechanisms of cardiovascular diseases: determinants, risk factors and pathways

    Vassilis Pitsikalis

    Founder / CSO at Deeplab IKE

    Athens, Greece